Overview

Dataset statistics

Number of variables21
Number of observations1366
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory267.1 KiB
Average record size in memory200.2 B

Variable types

Numeric21

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
people_vaccinated is highly overall correlated with total_vaccinations_per_hundred and 10 other fieldsHigh correlation
total_vaccinations_per_hundred is highly overall correlated with people_vaccinated and 8 other fieldsHigh correlation
stringency_index is highly overall correlated with people_vaccinated and 12 other fieldsHigh correlation
weekly_hosp_admissions_per_million is highly overall correlated with new_tests_smoothed and 8 other fieldsHigh correlation
new_tests_smoothed is highly overall correlated with stringency_index and 10 other fieldsHigh correlation
people_vaccinated_per_hundred is highly overall correlated with people_vaccinated and 8 other fieldsHigh correlation
weekly_icu_admissions is highly overall correlated with weekly_hosp_admissions_per_million and 8 other fieldsHigh correlation
hosp_patients_per_million is highly overall correlated with weekly_hosp_admissions_per_million and 8 other fieldsHigh correlation
icu_patients is highly overall correlated with stringency_index and 9 other fieldsHigh correlation
tests_per_case is highly overall correlated with people_vaccinated and 16 other fieldsHigh correlation
people_fully_vaccinated is highly overall correlated with people_vaccinated and 10 other fieldsHigh correlation
total_cases_per_million is highly overall correlated with people_vaccinated and 10 other fieldsHigh correlation
total_boosters_per_hundred is highly overall correlated with people_vaccinated and 10 other fieldsHigh correlation
people_fully_vaccinated_per_hundred is highly overall correlated with people_vaccinated and 8 other fieldsHigh correlation
total_boosters is highly overall correlated with people_vaccinated and 11 other fieldsHigh correlation
weekly_icu_admissions_per_million is highly overall correlated with stringency_index and 9 other fieldsHigh correlation
icu_patients_per_million is highly overall correlated with stringency_index and 9 other fieldsHigh correlation
total_cases is highly overall correlated with people_vaccinated and 10 other fieldsHigh correlation
total_vaccinations is highly overall correlated with people_vaccinated and 10 other fieldsHigh correlation
hosp_patients is highly overall correlated with weekly_hosp_admissions_per_million and 8 other fieldsHigh correlation
new_deaths is highly overall correlated with stringency_index and 9 other fieldsHigh correlation
people_vaccinated has 338 (24.7%) zerosZeros
total_vaccinations_per_hundred has 347 (25.4%) zerosZeros
stringency_index has 272 (19.9%) zerosZeros
weekly_hosp_admissions_per_million has 56 (4.1%) zerosZeros
new_tests_smoothed has 468 (34.3%) zerosZeros
people_vaccinated_per_hundred has 347 (25.4%) zerosZeros
weekly_icu_admissions has 67 (4.9%) zerosZeros
hosp_patients_per_million has 51 (3.7%) zerosZeros
icu_patients has 54 (4.0%) zerosZeros
tests_per_case has 469 (34.3%) zerosZeros
people_fully_vaccinated has 347 (25.4%) zerosZeros
total_boosters_per_hundred has 387 (28.3%) zerosZeros
people_fully_vaccinated_per_hundred has 356 (26.1%) zerosZeros
total_boosters has 363 (26.6%) zerosZeros
weekly_icu_admissions_per_million has 67 (4.9%) zerosZeros
icu_patients_per_million has 54 (4.0%) zerosZeros
total_vaccinations has 338 (24.7%) zerosZeros
hosp_patients has 51 (3.7%) zerosZeros
new_deaths has 19 (1.4%) zerosZeros

Reproduction

Analysis started2023-10-22 11:30:07.706176
Analysis finished2023-10-22 11:30:47.822206
Duration40.12 seconds
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

people_vaccinated
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1028
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0658198 × 1010
Minimum0
Maximum2.0521728 × 1010
Zeros338
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:47.865404image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.5
median1.4981407 × 1010
Q31.8702228 × 1010
95-th percentile1.9178431 × 1010
Maximum2.0521728 × 1010
Range2.0521728 × 1010
Interquartile range (IQR)1.8702228 × 1010

Descriptive statistics

Standard deviation8.5300688 × 109
Coefficient of variation (CV)0.80032938
Kurtosis-1.7884883
Mean1.0658198 × 1010
Median Absolute Deviation (MAD)4.1620046 × 109
Skewness-0.27081473
Sum1.4559098 × 1013
Variance7.2762074 × 1019
MonotonicityNot monotonic
2023-10-22T13:30:47.944264image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 338
 
24.7%
4 2
 
0.1%
1.892215803 × 10101
 
0.1%
1.904951449 × 10101
 
0.1%
1.898268738 × 10101
 
0.1%
1.886053076 × 10101
 
0.1%
1.897340489 × 10101
 
0.1%
1.907878553 × 10101
 
0.1%
1.896818696 × 10101
 
0.1%
1.899064081 × 10101
 
0.1%
Other values (1018) 1018
74.5%
ValueCountFrequency (%)
0 338
24.7%
4 2
 
0.1%
5 1
 
0.1%
10 1
 
0.1%
28 1
 
0.1%
39 1
 
0.1%
40 1
 
0.1%
56 1
 
0.1%
60 1
 
0.1%
147316 1
 
0.1%
ValueCountFrequency (%)
2.052172793 × 10101
0.1%
2.047270104 × 10101
0.1%
2.041170943 × 10101
0.1%
2.040778457 × 10101
0.1%
2.034131371 × 10101
0.1%
2.030446307 × 10101
0.1%
2.025998364 × 10101
0.1%
2.023128478 × 10101
0.1%
2.021771874 × 10101
0.1%
2.018900507 × 10101
0.1%

total_vaccinations_per_hundred
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1019
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6801.8614
Minimum0
Maximum17775.7
Zeros347
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:48.026495image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6730.995
Q312072.193
95-th percentile15404.698
Maximum17775.7
Range17775.7
Interquartile range (IQR)12072.193

Descriptive statistics

Standard deviation5706.1451
Coefficient of variation (CV)0.83890935
Kurtosis-1.4583754
Mean6801.8614
Median Absolute Deviation (MAD)6189.775
Skewness0.10583195
Sum9291342.6
Variance32560092
MonotonicityNot monotonic
2023-10-22T13:30:48.103987image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 347
 
25.4%
12735.8 2
 
0.1%
11594.27 1
 
0.1%
11456.1 1
 
0.1%
13835.41 1
 
0.1%
10835.63 1
 
0.1%
13328.66 1
 
0.1%
12855.79 1
 
0.1%
12143.14 1
 
0.1%
11968.04 1
 
0.1%
Other values (1009) 1009
73.9%
ValueCountFrequency (%)
0 347
25.4%
0.02 1
 
0.1%
0.03 1
 
0.1%
0.26 1
 
0.1%
0.3 1
 
0.1%
0.43 1
 
0.1%
0.68 1
 
0.1%
0.77 1
 
0.1%
0.93 1
 
0.1%
1.42 1
 
0.1%
ValueCountFrequency (%)
17775.7 1
0.1%
17686.02 1
0.1%
17624.61 1
0.1%
17602.89 1
0.1%
17472.05 1
0.1%
17306.39 1
0.1%
17216.9 1
0.1%
17059.68 1
0.1%
16990.57 1
0.1%
16954.19 1
0.1%

stringency_index
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1063
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6180.4312
Minimum0
Maximum14419.05
Zeros272
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:48.188690image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12772.655
median7935.765
Q39928.21
95-th percentile12148.4
Maximum14419.05
Range14419.05
Interquartile range (IQR)7155.555

Descriptive statistics

Standard deviation4334.5175
Coefficient of variation (CV)0.70132931
Kurtosis-1.3209484
Mean6180.4312
Median Absolute Deviation (MAD)3013.195
Skewness-0.17185808
Sum8442469
Variance18788042
MonotonicityNot monotonic
2023-10-22T13:30:48.266916image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 272
 
19.9%
44.46 7
 
0.5%
2925.16 4
 
0.3%
2860.44 3
 
0.2%
1452.36 3
 
0.2%
2774.44 3
 
0.2%
3090.28 2
 
0.1%
3000 2
 
0.1%
3024.34 2
 
0.1%
3458.2 2
 
0.1%
Other values (1053) 1066
78.0%
ValueCountFrequency (%)
0 272
19.9%
25.01 2
 
0.1%
27.79 1
 
0.1%
38.9 1
 
0.1%
41.68 1
 
0.1%
44.46 7
 
0.5%
58.34 1
 
0.1%
83.34 2
 
0.1%
88.89 2
 
0.1%
116.68 1
 
0.1%
ValueCountFrequency (%)
14419.05 1
0.1%
14407 1
0.1%
14394.51 1
0.1%
14390.34 1
0.1%
14385.71 1
0.1%
14370.42 1
0.1%
14365.8 1
0.1%
14341.73 1
0.1%
14335.24 1
0.1%
14326.9 1
0.1%

weekly_hosp_admissions_per_million
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1311
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1455.1886
Minimum0
Maximum6441.489
Zeros56
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:48.350317image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46.394
Q1618.84375
median1158.7085
Q32127.0143
95-th percentile3668.1833
Maximum6441.489
Range6441.489
Interquartile range (IQR)1508.1705

Descriptive statistics

Standard deviation1157.3477
Coefficient of variation (CV)0.79532488
Kurtosis1.2507
Mean1455.1886
Median Absolute Deviation (MAD)669.637
Skewness1.1217991
Sum1987787.6
Variance1339453.7
MonotonicityNot monotonic
2023-10-22T13:30:48.428265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56
 
4.1%
1987.701 1
 
0.1%
2174.471 1
 
0.1%
2178.842 1
 
0.1%
2188.227 1
 
0.1%
2193.831 1
 
0.1%
2213.119 1
 
0.1%
3172.706 1
 
0.1%
2187.949 1
 
0.1%
2237.119 1
 
0.1%
Other values (1301) 1301
95.2%
ValueCountFrequency (%)
0 56
4.1%
1.549 1
 
0.1%
19.813 1
 
0.1%
20.258 1
 
0.1%
20.371 1
 
0.1%
20.383 1
 
0.1%
20.781 1
 
0.1%
24.069 1
 
0.1%
28.338 1
 
0.1%
32.793 1
 
0.1%
ValueCountFrequency (%)
6441.489 1
0.1%
6213.537 1
0.1%
6182.143 1
0.1%
6131.494 1
0.1%
5964.21 1
0.1%
5810.537 1
0.1%
5755.362 1
0.1%
5694.104 1
0.1%
5367.978 1
0.1%
5244.293 1
0.1%

new_tests_smoothed
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct897
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10821064
Minimum0
Maximum30977922
Zeros468
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:48.510671image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4042957
Q322892361
95-th percentile26099890
Maximum30977922
Range30977922
Interquartile range (IQR)22892361

Descriptive statistics

Standard deviation11338269
Coefficient of variation (CV)1.0477961
Kurtosis-1.7870377
Mean10821064
Median Absolute Deviation (MAD)4042957
Skewness0.26005438
Sum1.4781574 × 1010
Variance1.2855634 × 1014
MonotonicityNot monotonic
2023-10-22T13:30:48.588138image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 468
34.3%
220 2
 
0.1%
234 2
 
0.1%
24590768 1
 
0.1%
24409267 1
 
0.1%
24464110 1
 
0.1%
24506246 1
 
0.1%
24565708 1
 
0.1%
24564226 1
 
0.1%
24611545 1
 
0.1%
Other values (887) 887
64.9%
ValueCountFrequency (%)
0 468
34.3%
155 1
 
0.1%
159 1
 
0.1%
172 1
 
0.1%
177 1
 
0.1%
184 1
 
0.1%
187 1
 
0.1%
192 1
 
0.1%
213 1
 
0.1%
214 1
 
0.1%
ValueCountFrequency (%)
30977922 1
0.1%
30815738 1
0.1%
30808520 1
0.1%
30803842 1
0.1%
30759742 1
0.1%
30705470 1
0.1%
30638767 1
0.1%
30594536 1
0.1%
30583855 1
0.1%
30554780 1
0.1%

people_vaccinated_per_hundred
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1018
Distinct (%)74.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2860.7309
Minimum0
Maximum7539.78
Zeros347
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:48.671393image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2876.285
Q35082.16
95-th percentile6388.4875
Maximum7539.78
Range7539.78
Interquartile range (IQR)5082.16

Descriptive statistics

Standard deviation2353.3916
Coefficient of variation (CV)0.82265396
Kurtosis-1.4486111
Mean2860.7309
Median Absolute Deviation (MAD)2498.41
Skewness0.088803522
Sum3907758.4
Variance5538451.9
MonotonicityNot monotonic
2023-10-22T13:30:49.300035image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 347
 
25.4%
1601.6 2
 
0.1%
0.02 2
 
0.1%
5484.54 1
 
0.1%
5026.8 1
 
0.1%
3907.42 1
 
0.1%
5105.43 1
 
0.1%
4633.53 1
 
0.1%
4445.7 1
 
0.1%
4305.47 1
 
0.1%
Other values (1008) 1008
73.8%
ValueCountFrequency (%)
0 347
25.4%
0.02 2
 
0.1%
0.07 1
 
0.1%
0.14 1
 
0.1%
0.31 1
 
0.1%
0.55 1
 
0.1%
0.65 1
 
0.1%
0.79 1
 
0.1%
1.29 1
 
0.1%
2.09 1
 
0.1%
ValueCountFrequency (%)
7539.78 1
0.1%
7385.09 1
0.1%
7256.24 1
0.1%
7249.19 1
0.1%
7193.58 1
0.1%
7181.37 1
0.1%
7013.18 1
0.1%
7003 1
0.1%
6961.76 1
0.1%
6916.98 1
0.1%

weekly_icu_admissions
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1107
Distinct (%)81.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2534.1435
Minimum0
Maximum8988
Zeros67
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:49.379996image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q1944.75
median2037.5
Q33631.5
95-th percentile6582
Maximum8988
Range8988
Interquartile range (IQR)2686.75

Descriptive statistics

Standard deviation2084.0396
Coefficient of variation (CV)0.82238422
Kurtosis-0.16378978
Mean2534.1435
Median Absolute Deviation (MAD)1206
Skewness0.83020692
Sum3461640
Variance4343221.1
MonotonicityNot monotonic
2023-10-22T13:30:49.453142image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
4.9%
20 6
 
0.4%
23 5
 
0.4%
16 5
 
0.4%
95 4
 
0.3%
24 4
 
0.3%
2238 3
 
0.2%
934 3
 
0.2%
1475 3
 
0.2%
2563 3
 
0.2%
Other values (1097) 1263
92.5%
ValueCountFrequency (%)
0 67
4.9%
3 1
 
0.1%
4 3
 
0.2%
5 2
 
0.1%
6 2
 
0.1%
8 1
 
0.1%
11 3
 
0.2%
13 3
 
0.2%
15 3
 
0.2%
16 5
 
0.4%
ValueCountFrequency (%)
8988 1
0.1%
8627 1
0.1%
8462 1
0.1%
8427 1
0.1%
8358 1
0.1%
8297 1
0.1%
8148 2
0.1%
8122 1
0.1%
8054 1
0.1%
7953 1
0.1%

hosp_patients_per_million
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1313
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3694.1294
Minimum0
Maximum12084.123
Zeros51
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:49.529860image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.20125
Q11442.8035
median2718.3865
Q35890.2778
95-th percentile9646.8573
Maximum12084.123
Range12084.123
Interquartile range (IQR)4447.4743

Descriptive statistics

Standard deviation3024.2464
Coefficient of variation (CV)0.8186628
Kurtosis-0.40972984
Mean3694.1294
Median Absolute Deviation (MAD)1652.214
Skewness0.81409758
Sum5046180.8
Variance9146066.1
MonotonicityNot monotonic
2023-10-22T13:30:49.610059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
 
3.7%
0.754 3
 
0.2%
9079.828 2
 
0.1%
26.764 1
 
0.1%
3881.514 1
 
0.1%
4059.585 1
 
0.1%
4253.865 1
 
0.1%
4318.136 1
 
0.1%
4231.388 1
 
0.1%
4062.019 1
 
0.1%
Other values (1303) 1303
95.4%
ValueCountFrequency (%)
0 51
3.7%
0.754 3
 
0.2%
2.151 1
 
0.1%
3.295 1
 
0.1%
3.532 1
 
0.1%
5.903 1
 
0.1%
7.682 1
 
0.1%
9.325 1
 
0.1%
11.054 1
 
0.1%
12.003 1
 
0.1%
ValueCountFrequency (%)
12084.123 1
0.1%
12028.627 1
0.1%
11794.784 1
0.1%
11594.962 1
0.1%
11559.431 1
0.1%
11511.179 1
0.1%
11508.131 1
0.1%
11488.52 1
0.1%
11417.888 1
0.1%
11374.939 1
0.1%

icu_patients
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1279
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18599.351
Minimum0
Maximum64534
Zeros54
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:49.690033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile171
Q15732.25
median10873.5
Q331703.75
95-th percentile49423.75
Maximum64534
Range64534
Interquartile range (IQR)25971.5

Descriptive statistics

Standard deviation16553.926
Coefficient of variation (CV)0.89002712
Kurtosis-0.4670441
Mean18599.351
Median Absolute Deviation (MAD)9463.5
Skewness0.8008415
Sum25406713
Variance2.7403248 × 108
MonotonicityNot monotonic
2023-10-22T13:30:49.765516image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
4.0%
6071 3
 
0.2%
16874 2
 
0.1%
6626 2
 
0.1%
1200 2
 
0.1%
5333 2
 
0.1%
4984 2
 
0.1%
5020 2
 
0.1%
1769 2
 
0.1%
11765 2
 
0.1%
Other values (1269) 1293
94.7%
ValueCountFrequency (%)
0 54
4.0%
8 1
 
0.1%
10 1
 
0.1%
18 1
 
0.1%
19 1
 
0.1%
22 2
 
0.1%
26 1
 
0.1%
27 1
 
0.1%
35 1
 
0.1%
36 1
 
0.1%
ValueCountFrequency (%)
64534 1
0.1%
64210 1
0.1%
64002 1
0.1%
63084 1
0.1%
63000 1
0.1%
62996 1
0.1%
62978 1
0.1%
62966 1
0.1%
62811 1
0.1%
62777 1
0.1%

tests_per_case
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct896
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166016.07
Minimum0
Maximum1047002.5
Zeros469
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:49.847161image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median19256.3
Q3329483
95-th percentile653349.65
Maximum1047002.5
Range1047002.5
Interquartile range (IQR)329483

Descriptive statistics

Standard deviation232867.3
Coefficient of variation (CV)1.4026793
Kurtosis0.90281284
Mean166016.07
Median Absolute Deviation (MAD)19256.3
Skewness1.3603063
Sum2.2677795 × 108
Variance5.4227179 × 1010
MonotonicityNot monotonic
2023-10-22T13:30:49.928428image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 469
34.3%
38.5 2
 
0.1%
8.5 2
 
0.1%
361632.1 1
 
0.1%
305530.8 1
 
0.1%
322861.8 1
 
0.1%
353752.3 1
 
0.1%
366050.1 1
 
0.1%
376125.7 1
 
0.1%
390483.9 1
 
0.1%
Other values (886) 886
64.9%
ValueCountFrequency (%)
0 469
34.3%
4.1 1
 
0.1%
4.4 1
 
0.1%
4.5 1
 
0.1%
5.4 1
 
0.1%
6 1
 
0.1%
6.1 1
 
0.1%
7.1 1
 
0.1%
8.5 2
 
0.1%
9 1
 
0.1%
ValueCountFrequency (%)
1047002.5 1
0.1%
999097.9 1
0.1%
981984.4 1
0.1%
963422 1
0.1%
931837.4 1
0.1%
930272.1 1
0.1%
924963.6 1
0.1%
921468.8 1
0.1%
914627.9 1
0.1%
911439.4 1
0.1%

people_fully_vaccinated
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1020
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2678428 × 109
Minimum0
Maximum1.8944195 × 1010
Zeros347
Zeros (%)25.4%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:50.009932image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.1839823 × 1010
Q31.714247 × 1010
95-th percentile1.7648889 × 1010
Maximum1.8944195 × 1010
Range1.8944195 × 1010
Interquartile range (IQR)1.714247 × 1010

Descriptive statistics

Standard deviation7.9204055 × 109
Coefficient of variation (CV)0.85461155
Kurtosis-1.8522708
Mean9.2678428 × 109
Median Absolute Deviation (MAD)5.7373549 × 109
Skewness-0.14398444
Sum1.2659873 × 1013
Variance6.2732823 × 1019
MonotonicityNot monotonic
2023-10-22T13:30:50.086496image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 347
 
25.4%
1.74010088 × 10101
 
0.1%
1.724252775 × 10101
 
0.1%
1.75469622 × 10101
 
0.1%
1.753911317 × 10101
 
0.1%
1.73245183 × 10101
 
0.1%
1.734784794 × 10101
 
0.1%
1.745872981 × 10101
 
0.1%
1.747352468 × 10101
 
0.1%
1.737003255 × 10101
 
0.1%
Other values (1010) 1010
73.9%
ValueCountFrequency (%)
0 347
25.4%
38676 1
 
0.1%
39332 1
 
0.1%
40644 1
 
0.1%
42716 1
 
0.1%
46020 1
 
0.1%
51324 1
 
0.1%
55976 1
 
0.1%
59268 1
 
0.1%
65964 1
 
0.1%
ValueCountFrequency (%)
1.894419518 × 10101
0.1%
1.888425236 × 10101
0.1%
1.882989249 × 10101
0.1%
1.877428484 × 10101
0.1%
1.870940509 × 10101
0.1%
1.869684624 × 10101
0.1%
1.867312099 × 10101
0.1%
1.866840665 × 10101
0.1%
1.86532485 × 10101
0.1%
1.863750941 × 10101
0.1%

total_cases_per_million
Real number (ℝ)

Distinct1355
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22486711
Minimum0
Maximum49361589
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:50.170162image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4082.6993
Q13019865.1
median13528844
Q345505923
95-th percentile49209386
Maximum49361589
Range49361589
Interquartile range (IQR)42486058

Descriptive statistics

Standard deviation19852260
Coefficient of variation (CV)0.88284407
Kurtosis-1.7039173
Mean22486711
Median Absolute Deviation (MAD)13457616
Skewness0.23185977
Sum3.0716848 × 1010
Variance3.9411222 × 1014
MonotonicityNot monotonic
2023-10-22T13:30:50.249724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49361589 4
 
0.3%
27.43 4
 
0.3%
27.571 3
 
0.2%
0 3
 
0.2%
0.023 2
 
0.1%
39357604.7 1
 
0.1%
39926745.3 1
 
0.1%
39883343.15 1
 
0.1%
39827189.41 1
 
0.1%
39738058.83 1
 
0.1%
Other values (1345) 1345
98.5%
ValueCountFrequency (%)
0 3
0.2%
0.017 1
 
0.1%
0.023 2
0.1%
0.202 1
 
0.1%
27.43 4
0.3%
27.489 1
 
0.1%
27.503 1
 
0.1%
27.531 1
 
0.1%
27.571 3
0.2%
27.59 1
 
0.1%
ValueCountFrequency (%)
49361589 4
0.3%
49361577.02 1
 
0.1%
49361566.41 1
 
0.1%
49361288.37 1
 
0.1%
49361286.42 1
 
0.1%
49361284.76 1
 
0.1%
49359190.19 1
 
0.1%
49356589.89 1
 
0.1%
49355718.03 1
 
0.1%
49355661.97 1
 
0.1%

total_boosters_per_hundred
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct912
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1176.0696
Minimum0
Maximum3688.62
Zeros387
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:50.328507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median543.175
Q32622.715
95-th percentile3094.935
Maximum3688.62
Range3688.62
Interquartile range (IQR)2622.715

Descriptive statistics

Standard deviation1267.5552
Coefficient of variation (CV)1.0777893
Kurtosis-1.5474775
Mean1176.0696
Median Absolute Deviation (MAD)543.175
Skewness0.41306279
Sum1606511
Variance1606696.1
MonotonicityNot monotonic
2023-10-22T13:30:50.409851image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 387
28.3%
0.07 6
 
0.4%
0.15 6
 
0.4%
0.01 6
 
0.4%
0.09 5
 
0.4%
0.13 5
 
0.4%
0.05 4
 
0.3%
0.17 4
 
0.3%
0.16 4
 
0.3%
0.43 3
 
0.2%
Other values (902) 936
68.5%
ValueCountFrequency (%)
0 387
28.3%
0.01 6
 
0.4%
0.02 3
 
0.2%
0.03 3
 
0.2%
0.04 2
 
0.1%
0.05 4
 
0.3%
0.06 2
 
0.1%
0.07 6
 
0.4%
0.09 5
 
0.4%
0.1 1
 
0.1%
ValueCountFrequency (%)
3688.62 1
0.1%
3608.68 1
0.1%
3558.01 1
0.1%
3517.7 1
0.1%
3453.89 1
0.1%
3449.26 1
0.1%
3435.65 1
0.1%
3432.84 1
0.1%
3428.54 1
0.1%
3427.62 1
0.1%

people_fully_vaccinated_per_hundred
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1002
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2472.1447
Minimum0
Maximum6718.98
Zeros356
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:50.493601image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2364.985
Q34445.055
95-th percentile5828.8525
Maximum6718.98
Range6718.98
Interquartile range (IQR)4445.055

Descriptive statistics

Standard deviation2138.0546
Coefficient of variation (CV)0.86485818
Kurtosis-1.4258185
Mean2472.1447
Median Absolute Deviation (MAD)2336.465
Skewness0.17671002
Sum3376949.7
Variance4571277.3
MonotonicityNot monotonic
2023-10-22T13:30:50.572884image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 356
 
26.1%
0.01 6
 
0.4%
0.02 3
 
0.2%
3077.29 2
 
0.1%
4355.54 2
 
0.1%
3961.83 1
 
0.1%
3291.7 1
 
0.1%
4549.14 1
 
0.1%
4065.92 1
 
0.1%
3800.78 1
 
0.1%
Other values (992) 992
72.6%
ValueCountFrequency (%)
0 356
26.1%
0.01 6
 
0.4%
0.02 3
 
0.2%
0.03 1
 
0.1%
0.03 1
 
0.1%
0.04 1
 
0.1%
0.05 1
 
0.1%
0.07 1
 
0.1%
0.12 1
 
0.1%
0.22 1
 
0.1%
ValueCountFrequency (%)
6718.98 1
0.1%
6709.75 1
0.1%
6654.85 1
0.1%
6621.66 1
0.1%
6604.8 1
0.1%
6575.88 1
0.1%
6483.11 1
0.1%
6420.59 1
0.1%
6407.24 1
0.1%
6374.37 1
0.1%

total_boosters
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1001
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8307951 × 109
Minimum0
Maximum1.032276 × 1010
Zeros363
Zeros (%)26.6%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:50.660282image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.0938463 × 108
Q38.9274277 × 109
95-th percentile9.3711984 × 109
Maximum1.032276 × 1010
Range1.032276 × 1010
Interquartile range (IQR)8.9274277 × 109

Descriptive statistics

Standard deviation4.1620288 × 109
Coefficient of variation (CV)1.0864661
Kurtosis-1.7758937
Mean3.8307951 × 109
Median Absolute Deviation (MAD)7.0938463 × 108
Skewness0.30765781
Sum5.2328661 × 1012
Variance1.7322484 × 1019
MonotonicityNot monotonic
2023-10-22T13:30:50.748281image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 363
 
26.6%
4 3
 
0.2%
8 2
 
0.1%
8989075022 1
 
0.1%
9022434589 1
 
0.1%
8975095274 1
 
0.1%
8986690612 1
 
0.1%
9088443839 1
 
0.1%
8966212290 1
 
0.1%
9014225515 1
 
0.1%
Other values (991) 991
72.5%
ValueCountFrequency (%)
0 363
26.6%
4 3
 
0.2%
8 2
 
0.1%
47 1
 
0.1%
63 1
 
0.1%
67 1
 
0.1%
104 1
 
0.1%
133 1
 
0.1%
150 1
 
0.1%
153 1
 
0.1%
ValueCountFrequency (%)
1.032275988 × 10101
0.1%
1.028959429 × 10101
0.1%
1.024549372 × 10101
0.1%
1.019000117 × 10101
0.1%
1.015012912 × 10101
0.1%
9986030080 1
0.1%
9876367593 1
0.1%
9855479096 1
0.1%
9574433237 1
0.1%
9563772825 1
0.1%

weekly_icu_admissions_per_million
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1284
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.735427
Minimum0
Maximum515.688
Zeros67
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:50.834649image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.411
Q128.038
median48.833
Q3105.59225
95-th percentile225.2505
Maximum515.688
Range515.688
Interquartile range (IQR)77.55425

Descriptive statistics

Standard deviation82.065397
Coefficient of variation (CV)1.0694591
Kurtosis6.118871
Mean76.735427
Median Absolute Deviation (MAD)30.572
Skewness2.195975
Sum104820.59
Variance6734.7294
MonotonicityNot monotonic
2023-10-22T13:30:50.917232image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
4.9%
37.441 2
 
0.1%
0.604 2
 
0.1%
0.491 2
 
0.1%
28.989 2
 
0.1%
37.54 2
 
0.1%
0.747 2
 
0.1%
52.685 2
 
0.1%
43.559 2
 
0.1%
47.853 2
 
0.1%
Other values (1274) 1281
93.8%
ValueCountFrequency (%)
0 67
4.9%
0.264 1
 
0.1%
0.407 1
 
0.1%
0.423 2
 
0.1%
0.453 1
 
0.1%
0.468 1
 
0.1%
0.487 1
 
0.1%
0.491 2
 
0.1%
0.503 1
 
0.1%
0.529 2
 
0.1%
ValueCountFrequency (%)
515.688 1
0.1%
487.461 1
0.1%
479.899 1
0.1%
472.897 1
0.1%
472.1 1
0.1%
471.752 1
0.1%
463.194 1
0.1%
462.463 1
0.1%
457.577 1
0.1%
448.927 1
0.1%

icu_patients_per_million
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1313
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447.70381
Minimum0
Maximum1636.821
Zeros54
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:50.998015image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.07875
Q1111.245
median242.5415
Q3753.6745
95-th percentile1276.612
Maximum1636.821
Range1636.821
Interquartile range (IQR)642.4295

Descriptive statistics

Standard deviation427.7814
Coefficient of variation (CV)0.95550091
Kurtosis-0.62780456
Mean447.70381
Median Absolute Deviation (MAD)232.747
Skewness0.81085622
Sum611563.4
Variance182996.92
MonotonicityNot monotonic
2023-10-22T13:30:51.073028image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
4.0%
215.411 1
 
0.1%
184.49 1
 
0.1%
187.908 1
 
0.1%
190.268 1
 
0.1%
188.842 1
 
0.1%
175.604 1
 
0.1%
193.951 1
 
0.1%
167.676 1
 
0.1%
166.057 1
 
0.1%
Other values (1303) 1303
95.4%
ValueCountFrequency (%)
0 54
4.0%
0.44 1
 
0.1%
0.593 1
 
0.1%
0.61 1
 
0.1%
0.762 1
 
0.1%
0.821 1
 
0.1%
0.949 1
 
0.1%
1.084 1
 
0.1%
1.408 1
 
0.1%
1.465 1
 
0.1%
ValueCountFrequency (%)
1636.821 1
0.1%
1636.285 1
0.1%
1591.735 1
0.1%
1585.081 1
0.1%
1583.468 1
0.1%
1573.413 1
0.1%
1563.538 1
0.1%
1517.788 1
0.1%
1506.955 1
0.1%
1477.527 1
0.1%

total_cases
Real number (ℝ)

Distinct1355
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4766797 × 109
Minimum0
Maximum3.2662017 × 109
Zeros3
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:51.153777image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile455877.75
Q12.8374091 × 108
median1.0522929 × 109
Q32.6600109 × 109
95-th percentile3.2557076 × 109
Maximum3.2662017 × 109
Range3.2662017 × 109
Interquartile range (IQR)2.37627 × 109

Descriptive statistics

Standard deviation1.2267698 × 109
Coefficient of variation (CV)0.83076229
Kurtosis-1.5385476
Mean1.4766797 × 109
Median Absolute Deviation (MAD)1.032639 × 109
Skewness0.24462951
Sum2.0171444 × 1012
Variance1.5049641 × 1018
MonotonicityNot monotonic
2023-10-22T13:30:51.234083image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3266201673 4
 
0.3%
25 4
 
0.3%
213 3
 
0.2%
0 3
 
0.2%
21 2
 
0.1%
2317892943 1
 
0.1%
2346099548 1
 
0.1%
2343236761 1
 
0.1%
2340785679 1
 
0.1%
2339389155 1
 
0.1%
Other values (1345) 1345
98.5%
ValueCountFrequency (%)
0 3
0.2%
9 1
 
0.1%
14 1
 
0.1%
21 2
0.1%
25 4
0.3%
189 1
 
0.1%
193 1
 
0.1%
213 3
0.2%
217 1
 
0.1%
233 1
 
0.1%
ValueCountFrequency (%)
3266201673 4
0.3%
3266197433 1
 
0.1%
3266195045 1
 
0.1%
3266191205 1
 
0.1%
3266190669 1
 
0.1%
3266190117 1
 
0.1%
3266112071 1
 
0.1%
3266038642 1
 
0.1%
3265986900 1
 
0.1%
3265982381 1
 
0.1%

total_vaccinations
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1028
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5051971 × 1010
Minimum0
Maximum5.0067372 × 1010
Zeros338
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:51.318154image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.5
median3.0210787 × 1010
Q34.5496185 × 1010
95-th percentile4.8811555 × 1010
Maximum5.0067372 × 1010
Range5.0067372 × 1010
Interquartile range (IQR)4.5496185 × 1010

Descriptive statistics

Standard deviation2.0845 × 1010
Coefficient of variation (CV)0.83207029
Kurtosis-1.7981996
Mean2.5051971 × 1010
Median Absolute Deviation (MAD)1.7824861 × 1010
Skewness-0.15275249
Sum3.4220992 × 1013
Variance4.3451404 × 1020
MonotonicityNot monotonic
2023-10-22T13:30:51.403924image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 338
 
24.7%
4 2
 
0.1%
4.86616481 × 10101
 
0.1%
4.937672916 × 10101
 
0.1%
4.871551379 × 10101
 
0.1%
4.854628638 × 10101
 
0.1%
4.881060258 × 10101
 
0.1%
4.902117636 × 10101
 
0.1%
4.875523167 × 10101
 
0.1%
4.920136053 × 10101
 
0.1%
Other values (1018) 1018
74.5%
ValueCountFrequency (%)
0 338
24.7%
4 2
 
0.1%
5 1
 
0.1%
10 1
 
0.1%
28 1
 
0.1%
39 1
 
0.1%
40 1
 
0.1%
56 1
 
0.1%
60 1
 
0.1%
182528 1
 
0.1%
ValueCountFrequency (%)
5.006737151 × 10101
0.1%
4.980934752 × 10101
0.1%
4.977957111 × 10101
0.1%
4.974132634 × 10101
0.1%
4.972888198 × 10101
0.1%
4.972124095 × 10101
0.1%
4.971971429 × 10101
0.1%
4.964885614 × 10101
0.1%
4.960406467 × 10101
0.1%
4.958950362 × 10101
0.1%

hosp_patients
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1307
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111657.25
Minimum0
Maximum363932
Zeros51
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:51.485609image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1209.75
Q156808
median93951
Q3151361.75
95-th percentile292081.25
Maximum363932
Range363932
Interquartile range (IQR)94553.75

Descriptive statistics

Standard deviation82450.504
Coefficient of variation (CV)0.73842498
Kurtosis0.48990952
Mean111657.25
Median Absolute Deviation (MAD)47656
Skewness0.96552984
Sum1.5252381 × 108
Variance6.7980856 × 109
MonotonicityNot monotonic
2023-10-22T13:30:51.562024image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
 
3.7%
1 3
 
0.2%
78856 2
 
0.1%
26777 2
 
0.1%
162109 2
 
0.1%
62063 2
 
0.1%
69403 2
 
0.1%
12881 2
 
0.1%
197561 2
 
0.1%
122245 1
 
0.1%
Other values (1297) 1297
94.9%
ValueCountFrequency (%)
0 51
3.7%
1 3
 
0.2%
116 1
 
0.1%
127 1
 
0.1%
146 1
 
0.1%
151 1
 
0.1%
165 1
 
0.1%
305 1
 
0.1%
360 1
 
0.1%
367 1
 
0.1%
ValueCountFrequency (%)
363932 1
0.1%
358785 1
0.1%
356423 1
0.1%
352117 1
0.1%
348415 1
0.1%
348294 1
0.1%
348203 1
0.1%
347719 1
0.1%
347324 1
0.1%
346888 1
0.1%

new_deaths
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1300
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21305.586
Minimum0
Maximum127161
Zeros19
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size53.6 KiB
2023-10-22T13:30:51.645818image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile121.5
Q14005
median19927
Q332573.25
95-th percentile54062
Maximum127161
Range127161
Interquartile range (IQR)28568.25

Descriptive statistics

Standard deviation19948.296
Coefficient of variation (CV)0.93629419
Kurtosis3.7336025
Mean21305.586
Median Absolute Deviation (MAD)14658
Skewness1.4799899
Sum29103430
Variance3.9793452 × 108
MonotonicityNot monotonic
2023-10-22T13:30:51.733195image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
1.4%
4 7
 
0.5%
8 4
 
0.3%
233 3
 
0.2%
71 3
 
0.2%
33354 2
 
0.1%
273 2
 
0.1%
376 2
 
0.1%
1245 2
 
0.1%
107 2
 
0.1%
Other values (1290) 1320
96.6%
ValueCountFrequency (%)
0 19
1.4%
4 7
 
0.5%
8 4
 
0.3%
10 1
 
0.1%
12 1
 
0.1%
15 1
 
0.1%
20 1
 
0.1%
27 1
 
0.1%
32 1
 
0.1%
44 1
 
0.1%
ValueCountFrequency (%)
127161 1
0.1%
121747 1
0.1%
119109 1
0.1%
118854 1
0.1%
118526 1
0.1%
118007 1
0.1%
111691 1
0.1%
110867 1
0.1%
107400 1
0.1%
107233 1
0.1%

Interactions

2023-10-22T13:30:45.894677image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:07.979862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.354468image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:10.779997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:12.674486image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.449280image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:16.160800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:17.912428image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.488815image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:21.174750image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:22.798923image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.392989image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:26.217104image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:27.820244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.501536image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:31.163827image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:32.733106image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:39.197526image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:40.849887image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.592001image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:44.212077image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:45.968374image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:08.043908image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.418251image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:10.843166image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:12.758507image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.529946image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:16.238895image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:17.983906image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.565312image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:21.251302image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:22.868186image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.471289image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:26.293032image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:27.897749image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.577149image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:31.236145image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:32.806076image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:39.279938image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:40.926201image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.663810image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:44.292926image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:46.049765image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:08.110863image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.487346image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:10.911074image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:12.848127image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.614635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:16.326595image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:18.060813image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.649248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:21.334235image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:22.944930image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.555238image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:26.378140image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:27.978750image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.661679image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:31.314052image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:32.881209image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:39.362766image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:41.008178image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.741122image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:44.379935image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:46.129970image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:08.176422image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.555005image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:10.979885image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:12.935916image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.699864image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:16.411778image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:18.137248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.737293image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:21.414418image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:23.020489image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.635288image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:26.457360image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:28.064648image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.740937image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:31.393995image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:32.957585image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:39.448841image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:41.087411image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.817379image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:44.463587image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:46.208535image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:08.243759image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.622458image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:11.051147image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:13.021914image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.784078image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:16.494338image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:18.211921image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.823335image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:21.493264image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:23.097219image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.719018image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:26.536670image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:28.145784image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.820448image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:31.470127image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:33.033251image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:39.531018image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:41.165955image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.893019image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:44.546248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:46.285498image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:08.309120image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.689876image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:11.135843image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:13.109106image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.866034image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:16.575494image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:18.286488image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.906429image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:21.571681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:23.172075image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.800181image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:26.613160image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:28.226568image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.898006image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:31.544677image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:37.830894image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:39.612374image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:41.244626image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.967845image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:44.630114image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:46.362774image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:08.376923image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.757925image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:11.234642image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:13.198869image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.948764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:16.657518image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:18.363292image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.993880image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:21.650619image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:23.252617image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.879978image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:26.690850image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:28.309892image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.978262image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:31.623795image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:37.915419image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:39.694929image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:41.324975image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:43.043721image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:44.710609image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:46.431248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:08.439084image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.823224image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:11.327410image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:13.277908image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
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2023-10-22T13:30:40.467762image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.205508image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:43.817364image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:45.498366image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:47.184999image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.089923image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:10.507310image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:12.309224image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.098102image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:15.836198image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:17.584373image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.181099image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:20.862544image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:22.497500image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.073627image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:25.843082image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:27.515853image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.169910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:30.847548image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:32.441372image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:38.869032image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:40.542035image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.283099image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:43.891324image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:45.574932image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:47.259167image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.161174image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:10.576350image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:12.403854image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.192096image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:15.917317image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:17.668799image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.261308image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:20.939265image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:22.573592image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.153989image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:25.948070image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:27.592870image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.254045image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:30.931427image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:32.514048image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:38.950972image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:40.617897image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.362891image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:43.970142image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:45.655326image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:47.333073image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.225102image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:10.640190image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:12.495804image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.274786image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:15.994778image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:17.749146image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.333994image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:21.014273image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:22.646182image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.233073image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:26.036917image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:27.662828image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.335558image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:31.006042image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:32.585603image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:39.029103image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:40.693877image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.436747image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:44.045797image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:45.732528image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:47.413194image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:09.288168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:10.710081image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:12.586972image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:14.362303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:16.078277image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:17.832851image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:19.415243image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:21.095018image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:22.724038image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:24.314548image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:26.128673image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:27.739008image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:29.418498image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:31.086456image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:32.658389image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:39.110772image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:40.774857image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:42.515645image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:44.128166image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2023-10-22T13:30:45.815335image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2023-10-22T13:30:51.817496image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
people_vaccinatedtotal_vaccinations_per_hundredstringency_indexweekly_hosp_admissions_per_millionnew_tests_smoothedpeople_vaccinated_per_hundredweekly_icu_admissionshosp_patients_per_millionicu_patientstests_per_casepeople_fully_vaccinatedtotal_cases_per_milliontotal_boosters_per_hundredpeople_fully_vaccinated_per_hundredtotal_boostersweekly_icu_admissions_per_millionicu_patients_per_milliontotal_casestotal_vaccinationshosp_patientsnew_deaths
people_vaccinated1.0000.782-0.736-0.042-0.4390.691-0.038-0.031-0.317-0.6410.9940.9050.9310.7450.956-0.222-0.4010.9050.972-0.024-0.399
total_vaccinations_per_hundred0.7821.000-0.4320.3250.0700.9750.2990.3090.043-0.2910.7580.6420.8980.9920.6820.129-0.0330.6420.7980.318-0.064
stringency_index-0.736-0.4321.0000.4420.630-0.3400.4570.4510.6770.772-0.755-0.783-0.641-0.405-0.8090.6070.770-0.783-0.7170.4360.749
weekly_hosp_admissions_per_million-0.0420.3250.4421.0000.6070.3660.9290.9430.8310.501-0.076-0.1580.0820.335-0.1670.8940.823-0.158-0.0220.9320.726
new_tests_smoothed-0.4390.0700.6300.6071.0000.2320.6370.6200.7950.853-0.468-0.475-0.3280.141-0.5060.7230.814-0.475-0.4650.6290.785
people_vaccinated_per_hundred0.6910.975-0.3400.3660.2321.0000.3460.3580.154-0.1520.6660.5590.8020.9900.5950.2070.0780.5590.6980.3710.057
weekly_icu_admissions-0.0380.2990.4570.9290.6370.3461.0000.9250.8480.555-0.067-0.1440.0740.307-0.1440.9360.857-0.144-0.0170.9150.734
hosp_patients_per_million-0.0310.3090.4510.9430.6200.3580.9251.0000.8640.529-0.063-0.1440.0670.324-0.1460.8600.860-0.144-0.0140.9750.730
icu_patients-0.3170.0430.6770.8310.7950.1540.8480.8641.0000.786-0.343-0.370-0.2450.078-0.4010.8800.962-0.370-0.3080.8930.901
tests_per_case-0.641-0.2910.7720.5010.853-0.1520.5550.5290.7861.000-0.664-0.637-0.578-0.240-0.6950.7000.822-0.637-0.6550.5280.801
people_fully_vaccinated0.9940.758-0.755-0.076-0.4680.666-0.067-0.063-0.343-0.6641.0000.9220.9190.7220.969-0.249-0.4260.9220.971-0.056-0.423
total_cases_per_million0.9050.642-0.783-0.158-0.4750.559-0.144-0.144-0.370-0.6370.9221.0000.8200.6150.967-0.295-0.4511.0000.895-0.133-0.452
total_boosters_per_hundred0.9310.898-0.6410.082-0.3280.8020.0740.067-0.245-0.5780.9190.8201.0000.8560.866-0.122-0.3220.8200.9540.074-0.336
people_fully_vaccinated_per_hundred0.7450.992-0.4050.3350.1410.9900.3070.3240.078-0.2400.7220.6150.8561.0000.6520.1500.0050.6150.7540.334-0.028
total_boosters0.9560.682-0.809-0.167-0.5060.595-0.144-0.146-0.401-0.6950.9690.9670.8660.6521.000-0.316-0.4820.9670.938-0.137-0.472
weekly_icu_admissions_per_million-0.2220.1290.6070.8940.7230.2070.9360.8600.8800.700-0.249-0.295-0.1220.150-0.3161.0000.921-0.295-0.2080.8420.858
icu_patients_per_million-0.401-0.0330.7700.8230.8140.0780.8570.8600.9620.822-0.426-0.451-0.3220.005-0.4820.9211.000-0.451-0.3970.8460.919
total_cases0.9050.642-0.783-0.158-0.4750.559-0.144-0.144-0.370-0.6370.9221.0000.8200.6150.967-0.295-0.4511.0000.895-0.133-0.452
total_vaccinations0.9720.798-0.717-0.022-0.4650.698-0.017-0.014-0.308-0.6550.9710.8950.9540.7540.938-0.208-0.3970.8951.000-0.003-0.399
hosp_patients-0.0240.3180.4360.9320.6290.3710.9150.9750.8930.528-0.056-0.1330.0740.334-0.1370.8420.846-0.133-0.0031.0000.737
new_deaths-0.399-0.0640.7490.7260.7850.0570.7340.7300.9010.801-0.423-0.452-0.336-0.028-0.4720.8580.919-0.452-0.3990.7371.000

Missing values

2023-10-22T13:30:47.531351image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2023-10-22T13:30:47.726575image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

people_vaccinatedtotal_vaccinations_per_hundredstringency_indexweekly_hosp_admissions_per_millionnew_tests_smoothedpeople_vaccinated_per_hundredweekly_icu_admissionshosp_patients_per_millionicu_patientstests_per_casepeople_fully_vaccinatedtotal_cases_per_milliontotal_boosters_per_hundredpeople_fully_vaccinated_per_hundredtotal_boostersweekly_icu_admissions_per_millionicu_patients_per_milliontotal_casestotal_vaccinationshosp_patientsnew_deaths
date
2020-01-010.00.00.000.00.00.00.00.0000.00.00.00.0000.00.00.00.00.00.00.00.00.0
2020-01-020.00.00.000.00.00.00.00.0000.00.00.00.0000.00.00.00.00.00.00.00.00.0
2020-01-030.00.025.010.00.00.00.00.0000.00.00.00.0000.00.00.00.00.00.00.00.00.0
2020-01-040.00.025.010.00.00.00.00.0000.00.00.00.2020.00.00.00.00.014.00.00.00.0
2020-01-050.00.027.790.00.00.00.00.0000.00.00.00.0170.00.00.00.00.09.00.00.015.0
2020-01-060.00.038.900.00.00.00.00.7540.00.00.00.0230.00.00.00.00.021.00.01.00.0
2020-01-070.00.041.680.00.00.00.00.0000.06.00.00.0230.00.00.00.00.021.00.00.00.0
2020-01-080.00.044.460.0155.00.00.00.0000.06.10.027.4300.00.00.00.00.025.00.00.00.0
2020-01-090.00.044.460.0159.00.00.00.0000.07.10.027.4300.00.00.00.00.025.00.00.00.0
2020-01-100.00.044.460.0177.00.00.00.0000.09.60.027.4300.00.00.00.00.025.00.00.00.0
people_vaccinatedtotal_vaccinations_per_hundredstringency_indexweekly_hosp_admissions_per_millionnew_tests_smoothedpeople_vaccinated_per_hundredweekly_icu_admissionshosp_patients_per_millionicu_patientstests_per_casepeople_fully_vaccinatedtotal_cases_per_milliontotal_boosters_per_hundredpeople_fully_vaccinated_per_hundredtotal_boostersweekly_icu_admissions_per_millionicu_patients_per_milliontotal_casestotal_vaccinationshosp_patientsnew_deaths
date
2023-09-181.797442e+104234.240.077.6440.01554.2499.0259.382211.00.01.660642e+104.935919e+071021.171561.028.987310e+093.6116.1353.266112e+094.357158e+106191.0309.0
2023-09-191.816044e+104381.310.042.6540.01807.36103.0146.532208.00.01.676625e+104.936128e+071084.861633.019.043591e+093.7205.8393.266190e+094.393788e+105891.0321.0
2023-09-201.773175e+103892.560.045.3990.01464.02108.0222.629454.00.01.640049e+104.936129e+071017.371398.328.958071e+094.0406.3583.266191e+094.323686e+1021701.04.0
2023-09-211.758025e+103681.490.044.3230.01375.5230.050.49927.00.01.625830e+104.936129e+07977.511315.268.889642e+092.3221.9533.266191e+094.287532e+101188.00.0
2023-09-221.758034e+103777.850.042.7190.01460.5131.031.34522.00.01.625631e+104.936157e+07977.711363.848.889786e+092.4171.7133.266195e+094.287103e+10556.04.0
2023-09-231.773281e+103918.280.020.3710.01480.8016.012.00310.00.01.639944e+104.936158e+071069.351384.118.960408e+091.5250.8213.266197e+094.323690e+10146.08.0
2023-09-241.772418e+103678.880.00.0000.01482.790.011.0548.00.01.636889e+104.936159e+07997.951330.038.951567e+090.0000.7623.266202e+094.320562e+10116.088.0
2023-09-251.754046e+103325.080.019.8130.01206.3513.026.25018.00.01.622053e+104.936159e+07785.311231.548.846812e+090.7401.4083.266202e+094.275544e+10360.00.0
2023-09-261.778454e+103859.850.020.3830.01553.6215.026.76422.00.01.636515e+104.936159e+07967.411343.628.940263e+090.8541.6363.266202e+094.331449e+10367.00.0
2023-09-271.757173e+102782.010.020.7810.01090.9913.026.89719.00.01.633132e+104.936159e+07601.791101.148.812402e+090.7401.4653.266202e+094.278562e+10368.00.0

Duplicate rows

Most frequently occurring

people_vaccinatedtotal_vaccinations_per_hundredstringency_indexweekly_hosp_admissions_per_millionnew_tests_smoothedpeople_vaccinated_per_hundredweekly_icu_admissionshosp_patients_per_millionicu_patientstests_per_casepeople_fully_vaccinatedtotal_cases_per_milliontotal_boosters_per_hundredpeople_fully_vaccinated_per_hundredtotal_boostersweekly_icu_admissions_per_millionicu_patients_per_milliontotal_casestotal_vaccinationshosp_patientsnew_deaths# duplicates
00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.02